ASR for Under-Resourced Languages From Probabilistic Transcription

Author:

Hasegawa-Johnson Mark A.,Jyothi Preethi,McCloy Daniel,Mirbagheri Majid,Liberto Giovanni M. di,Das Amit,Ekin Bradley,Liu Chunxi,Manohar Vimal,Tang Hao,Lalor Edmund C.,Chen Nancy F.,Hager Paul,Kekona Tyler,Sloan Rose,Lee Adrian K. C.

Funder

NSF

DARPA (LORELEI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

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3. Analytical Review of Methods for Solving Data Scarcity Issues Regarding Elaboration of Automatic Speech Recognition Systems for Low-Resource Languages;Informatics and Automation;2022-07-08

4. Improving Pseudo-Label Training For End-To-End Speech Recognition Using Gradient Mask;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

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